Research on Input-Output Benefit Evaluation Technology for Power Grid Asset Production Based on Production Function Theory
- DOI
- 10.2991/978-94-6463-447-1_55How to use a DOI?
- Keywords
- power grid assets; production function; input-output benefit; evaluation technology
- Abstract
In recent years, the development of power grid companies is in an important stage from the pursuit of scale speed to focus on quality and efficiency. Under high-quality development, because of the complex relationship between input and output, there are many factors that affect the effectiveness of investment can not be accurately evaluated. Therefore, grid companies need to build a perfect input-output index evaluation system based on industry financial integration, which is conducive to objectively quantifying the input-output benefits of resource factors, in order to solve the problems of low efficiency of input-output and low utilization of assets in power grid company, the closed-loop management and control of the whole process of resource input before, during and after can be realized, promote accurate allocation of resource elements and improve quality and efficiency.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Pengyun Geng AU - Jing Xiang AU - Lei An AU - Baiyan Liu AU - Xia Qi AU - Hui Wang PY - 2024 DA - 2024/07/14 TI - Research on Input-Output Benefit Evaluation Technology for Power Grid Asset Production Based on Production Function Theory BT - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024) PB - Atlantis Press SP - 530 EP - 537 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-447-1_55 DO - 10.2991/978-94-6463-447-1_55 ID - Geng2024 ER -